The Role of Radio-Télévision Libre Des Mille Collines in The Rwandan Genocide : An Analysis From The Theoretical Perspectives of Intergroup Threat and Aggression
Bibliographic record
Abstract
Libre des Mille Collines (RTLM) in the Rwandan genocide. It analyzes the radio broadcasts through the prism of theories of intergroup threat and aggression. In this perspective, this medium is conceived as a manipulative and propagandist agent which participated in the perpetration of mass killings constituting the Rwandan genocide, through the dissemination of the ideology of hatred before and during the genocide and the logistical assistance provided to those involved in the killings. Indeed, RTLM broadcasts were structured in such a way as to present Hutu as victims (intergroup threat), with the aim of justifying the use of violent actions against Tutsi (intergroup aggression). The corpus to be analyzed consists of extracts from RTLM broadcasts selected from transcripts stored at the Montreal Institute of Genocide and Human Rights Studies (MIGS) and at the International Monitor Institute (IMI). These extracts were analyzed with the method of discourse analysis. They reveal that RTLM's discourse was based on the victimization and glorification of Hutu, as well as the devaluation and demonization of Tutsi. Concretely, the radio broadcasts were structured in such a way as to incite Hutu (past and present victims of injustice) to exterminate Tutsi (the enemies, the "cockroaches" (inyenzi)) and to eradicate them from Rwandan society. They were built around two main themes : threat, which includes elements like propaganda and hatred, intergroup categorization and victimization of Hutu; and aggression which includes the revolutionary vision of Rwanda, the deshumanization of Tutsi, their designation as enemies, and the search for a just and homogeneous society without Tutsi.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".